Rosin, P. L. A note on the least square tting of ellipses. PRL, 14:799-808, 1993. 5 Home/Search Document Not in Database Summary Related Articles Check |
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Pros and Cons of Euclidean Fitting - Fisher (Correct)
.... M odelling of Built Environments from Range Analysis) project, an EC TMR network (ERB FMRX CT97 0127) 2 Least squares tting of general curves and surfaces Parameter estimation, usually cast as an optimization problem, can be divided into three general techniques: least squares tting (e.g. [1, 3, 9, 10, 12]) Kalman ltering (e.g. 4, 5] and robust techniques (e.g. 2, 6] Given a nite set of data points D = fx p g, p 2 [1; P ] the problem of tting a general curve and surface Z(f) to D by a least squares method is to minimize a distance measure 1 P P X p=1 dist (x p ; Z(f) Minimum (2) ....
Rosin, P. L. A note on the least square tting of ellipses. PRL, 14:799-808, 1993.
Pros and Cons of Euclidean Fitting - Petko Faber And (Correct)
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Rosin, P. L. A note on the least square tting of ellipses. PRL, 14:799-808, 1993. 5
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